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SpaceX’s Starhopper gains thruster pods as hop test preparations ramp up
Amid a flurry of new construction at SpaceX’s Boca Chica facilities, technicians have begun to install thruster pods on Starhopper in anticipation of the prototype’s first untethered flights.
According to CEO Elon Musk, Starhopper’s “untethered hover tests” will begin with just one Raptor engine installed, potentially allowing hops to restart within the next few weeks. SpaceX is currently testing Raptor SN03 (and possibly SN02) a few hundred miles north in McGregor, Texas, just a few hours’ drive south once the engine is deemed flight-ready. Meanwhile, Starhopper itself needs a considerable amount of new hardware before it can begin Raptor-powered flight testing.
A Falcon Raptor-powered Starship
Purely from a visible perspective, the most important component Starhopper is missing is a way to control its attitude and remain stable while under Raptor power, particularly critical for hovering. Enter the aptly-named attitude control system (ACS), essentially a pod of omnidirectional thrusters. SpaceX already happens to have its own extremely mature ACS proven over nearly two dozen successful Falcon 9 and Heavy booster landings, as well as every Falcon upper stage that has ever flown. SpaceX’s ACS is based on powerful nitrogen gas thrusters, known for their white puffs during Falcon 9 booster recovery and landing operations.
On May 6th and 7th, SpaceX began to install what looked like Falcon ACS pods on Starhopper. Curiously, of the two pairs of thrusters now installed, half appear to be taken directly off of older mothballed Falcon 9 boosters, while the other two seem to have been acquired from a Falcon 9 Block 5 rocket. The latter pods may very well have come from Falcon 9 B1050, the booster that unintentionally landed in the Atlantic Ocean last December.
Based on the asymmetric location of the first two pod groups, Starhopper’s ACS will probably use a tripod layout. Additionally, the reason for the thruster pairs – versus Falcon 9’s single pods – is likely simple: Starhopper is far heavier than a Falcon booster. To get the same level of control authority, SpaceX is thus pairing pods together to double the functional strength of Starhopper’s ACS.
This leads smoothly to the installation of two (likely soon to be three) new composite-overwrapped pressure vessels (COPVs). Starhopper already has two COPVs installed on the outside of its upper tank dome, now effectively confirmed to be helium containers needed to pressurize the vehicle’s methane and oxygen tanks. Based on the fact that Starhopper’s new ACS pods appear to have come straight from Falcon boosters, it’s safe to say that the 2 (or 3) new COPVs will supply the hopper’s thrusters with gaseous nitrogen.
The Ugly Starshipling
In general, this is just the latest chapter in the book of the oddity that is Starhopper. With helium tank pressurization and nitrogen ACS thrusters taken straight from Falcon 9, a major facet of SpaceX’s Mars architecture is entirely missing from the prototype. Known as autogenous pressurization, BFR was meant to use gasified versions of its onboard liquid oxygen and methane to pressurize its propellant tanks. In a similar vein, BFR was expected to integrated the same propellant into its ACS. Simply put, helium is simply out of the question if SpaceX wants to realize its reusable Mars transport architecture. Mars does have a minute quantity of nitrogen available in its already very thin atmosphere, but extracting hundreds or thousands of kilograms is impractical in the near-term, particularly if the first Starship have to carry all of their extraction equipment from Earth.
Although Musk has seemingly confirmed that Starship and Super Heavy will use ACS thrusters more akin to the Falcon family’s cold nitrogen gas pods, he did also confirm that autogenous pressurization would be a part of even the earliest iterations of the rocket. The move from carbon fiber to steel tanks likely made a major difference, as carbon composites have extremely limited heat resistance.
Without autogenous pressurization and propellant tanks closer to the thickness of orbit-capable Starships, Starhopper is really more of a mobile test stand for Raptor than anything else. The ungainly vehicle also offers SpaceX engineers an opportunity to test Starship/Super Heavy avionics in flight conditions, particularly with respect to controlling a real Raptor engine on the fly.
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Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
